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SASInstitute A00-262 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Business Rules & Monitoring | 12% | - Creating and managing business rules - Scheduling and running jobs on Data Management Server - Designing monitoring jobs and alerts |
| Topic 2: Data Exploration & Profiling | 25% | - Identifying data anomalies and quality issues - Building and running data explorations - Configuring and interpreting data profiles |
| Topic 3: Data Standardization & Quality Knowledge Base | 20% | - Parsing, right-fielding, and transformation logic - Creating standardization schemes - Working with Quality Knowledge Base (QKB) |
| Topic 4: DataFlux Methodology & Environment | 20% | - Understanding Plan, Act, Monitor phases - Connecting to data sources and creating data collections - Navigating Data Management Studio interface |
| Topic 5: Advanced Techniques | 8% | - Implementing macro variables and reusable logic - Using Expression Engine Language (EEL) |
| Topic 6: Entity Resolution & Matching | 15% | - Building match codes and clustering strategies - Surviving record identification - Configuring identification analysis |




